Simulation of coastal wave spectra energy from ENVISAT satellite data

7th IGRSM International Remote Sensing & GIS Conference and Exhibition

地球科学;计算机科学

Marghany, Maged^1

Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor Bahru, Malaysia^1

关键词: ENVISAT satellite;    Natural sources;    Nonlinear algorithms;    Northeast monsoon;    Ocean wave spectra;    Significant wave height;    Velocity bunching;    Wave energy spectra;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/20/1/012019/pdf
DOI  :  10.1088/1755-1315/20/1/012019

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In the last two decades, scientists have developed several powerful techniques to retrieve energy from natural sources such as a sun radiations, oceans and winds. This study is aimed at stimulating wave energy from large scale synthetic aperture radar (SAR) during different monsoon periods. In doing so, the nonlinear velocity bunching algorithm is used to retrieve the information of ocean wave spectra parameters such as significant wave height, directions, and energy on offshore, midshore, and onshore. Therefore, the maximum peak of the wave energy spectra density of 1.4 m2s has occurred during northeast monsoon period. It is clear that the mid-shore and onshore has the highest peak of 0.8 and 1.37 m2s, respectively as compared to offshore. In conclusions, a nonlinear algorithm of velocity bunching can be used to retrieve the significant wave height from synthetic aperture radar (SAR). In addition, SAR can be used to map the distribution of ocean wave spectra energy and determined the potential energy zone in Malaysia coastal waters.